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A Clustering Algorithm for Detecting and Handling Black Hole Attack in Vehicular Ad Hoc Networks

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Europe and MENA Cooperation Advances in Information and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 520))

Abstract

A vehicular ad hoc network (VANET) basically consists of a group of vehicles that communicate with each other through a wireless transmission and requires no pre-existing management infrastructure. This communication, as the main objective, streamlining traffic for drivers. This exchange of information is not always reliable because of several constraints such as the existence of malicious users aimed falsifying information to serve their own interests. In this paper, we will simulate the Black Hole attack in a VANET environment with a generated real world mobility model using MOVE Tool and SUMO and analyse the performance of this communication under this attack. And then we propose a clustering algorithm to detect and react against the black hole attacker node.

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References

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Author information

Authors and Affiliations

  1. LAROSERI laboratory, Sciences Faculty, Computer Science Department, Chouaïb Doukkali University, El Jadida, Morocco

    Badreddine Cherkaoui & Abderrahim Beni-hssane

  2. TIAD Laboratory, Sciences and Technics Faculty, Computer Sciences Department, University of Sultan Moulay Slimane, Beni Mellal, Morocco

    Mohammed Erritali

Authors
  1. Badreddine Cherkaoui
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  2. Abderrahim Beni-hssane
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  3. Mohammed Erritali
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Corresponding author

Correspondence to Badreddine Cherkaoui .

Editor information

Editors and Affiliations

  1. Fac de Ciências e Tech Dept de Enge Info, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Présidence de l'Université Mohammed Prem, University Mohammed First Oujda, Oujda, Morocco

    Mohammed Serrhini

  3. (CIETI) & (ISEP), School of Engg Polytechnic of Porto, Porto, Portugal

    Carlos Felgueiras

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Cherkaoui, B., Beni-hssane, A., Erritali, M. (2017). A Clustering Algorithm for Detecting and Handling Black Hole Attack in Vehicular Ad Hoc Networks. In: Rocha, Á., Serrhini, M., Felgueiras, C. (eds) Europe and MENA Cooperation Advances in Information and Communication Technologies. Advances in Intelligent Systems and Computing, vol 520. Springer, Cham. https://doi.org/10.1007/978-3-319-46568-5_49

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  • DOI: https://doi.org/10.1007/978-3-319-46568-5_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46567-8

  • Online ISBN: 978-3-319-46568-5

  • eBook Packages: EngineeringEngineering (R0)

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